FoTran 2018: Found in translation The first workshop on representation learning from multilingual data

Date: September 28, 2018
Place: University of Helsinki
Website: https://blogs.helsinki.fi/language-technology/fotran2018/

Participation is free of charge (space limits may apply)
but requires registration: https://goo.gl/forms/NkV3zRkQr0qRabKp1

The program features invited talks by:

* Kyunghyun Cho, NYU, New York
* Waleed Ammar, Allen Institute for AI
* André Martins, Unbabel, Lisbon
* Ivan Vulić, University of Cambridge
* Željko Agić, IT University of Copenhagen

The goal of this workshop is to bring together researchers that are
interested in learning meaning representations from natural languages
using multilingual data sets. The main focus is on the use of
translations as “semantic mirrors”, allowing to infer meaning from
translational grounding. With this, FoTran 2018 also constitutes the
start of an ERC project with the same name
(https://blogs.helsinki.fi/found-in-translation/) and we hope that
this event will set up a growing network that we will make use of
during the project. Topics of special interest of this kickoff-event
are not restricted to the objectives of the ERC project but include:

* sentence representation learning in general
* multilingual neural machine translation
* cross-lingual NLP and transfer models
* approaches to natural language inference
* interpretation and analyses of neural networks used for NLP

We invite participants to present their own work as short
presentations or posters and we encourage the re-use of talks and
posters from previous events. There is no call for papers nor any
proceedings but we would like to publish presentations on-line
(slides, posters, abstracts or similar) on the workshop website after
the event if the speakers agree.

Local Organisation Team

Jörg Tiedemann
Hande Celikkanat
Raul Vazquez

Об авторе Лидия Пивоварова

СПбГУ - старший преподаватель, University of Helsinki - PhD student http://philarts.spbu.ru/structure/sub-faculties/itah_phil/teachers/pivovarova
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